Kohler has launched the Dekoda, a $599 toilet camera designed to monitor health. It offers hydration updates and detects blood, with shipments starting on October 21.
Kohler introduces the Dekoda.
Camera costs $599.
Pre-orders begin now.
Subscription fee ranges from $70 to $156.
Data secured with encryption.
Privacy assurances provided.
Kohler, a leading manufacturer of bathroom fixtures, has released Dekoda, a $599 smart toilet camera designed to analyze stool and urine to provide personalized gut health insights. This device attaches securely to the rim of most toilet bowls and uses advanced optical sensors combined with spectroscopy and validated machine learning algorithms to assess hydration levels, stool consistency, frequency, shape, and detect blood—an important health indicator.[1][2][3]
Device Specifications and User Authentication Features
Dekoda clamps onto toilet rims measuring between 1.26 and 2.28 inches thick and includes a rechargeable, removable battery charged via USB-C. It connects to smartphones using WiFi 5, with an iOS app already available and Android support underway.
The device comes with an optional Bluetooth fingerprint scanner remote for user authentication, allowing multiple household members to have separate health profiles while ensuring data privacy and security through end-to-end encryption. Kohler emphasizes that sensors are directed solely inside the toilet bowl and nowhere else to protect privacy.[2][5][6][7][1]
Health Monitoring Capabilities and Subscription Model
Through the Kohler Health app, users receive actionable insights on hydration, bowel movement patterns, and blood detection alerts, which may prompt medical consultation. Access to these features requires a subscription priced at $6.99 monthly or $70 yearly for individuals, and $12.99 monthly or $130 yearly for families of up to five members. This subscription enables continuous health tracking and AI-driven recommendations.[6][7]
Potential Weaknesses and Areas for Further Improvement
Lack of Public Clinical Validation: No independent or third-party clinical studies have been published to verify Dekoda’s medical accuracy, especially regarding blood detection. Users should treat alerts as supplementary and not diagnostic.[7][9]
Privacy Compliance Details Missing: While the company provides robust encryption and physical sensor restrictions, explicit confirmations of compliance with healthcare data protection laws (such as HIPAA or GDPR) and third-party privacy audits are not available.[2][7]
Compatibility Limitations: Dekoda may not perform effectively on toilets with darker surfaces due to lighting constraints. Current compatible rim thickness ranges may exclude some toilet types, suggesting future iterations could broaden this.[7]
App Availability: Android users presently lack access to the companion app, which limits accessibility. Kohler plans Android support, but no firm release timeline is public.[6][7]
Comparative Product Clarification Needed: Kohler markets Dekoda against other emerging toilet cameras like Throne but omits detailed head-to-head comparisons, which could help consumers make informed decisions.[5]
Summary of Key Product Features
Fits toilet rims 1.26–2.28 inches thick; limited performance on dark toilets.
Uses optical sensors and spectroscopy for stool and urine analysis.
Detects hydration, stool shape, frequency, and possibly blood presence.
Connects via WiFi 5; iOS app available; Android in development.
Optional fingerprint remote for multi-user authentication.
Subscription required: $6.99/month or $70/year individual; $12.99/month or $130/year family.
Ensures privacy via sensor orientation and end-to-end encrypted data.
Luca Fischer is a senior technology journalist with more than twelve years of professional experience specializing in artificial intelligence, cybersecurity, and consumer electronics. L. Fischer earned his M.S. in Computer Science from Columbia University in 2011, where he developed a strong foundation in data science and network security before transitioning into tech media.
Throughout his career, Luca has been recognized for his clear, analytical approach to explaining complex technologies. His in-depth articles explore how AI innovations, privacy frameworks, and next-generation devices impact both industry and society.
Luca’s work has appeared across leading digital publications, where he delivers detailed reviews, investigative reports, and feature analyses on major players such as Google, Microsoft, Nvidia, AMD, Intel, OpenAI, Anthropic, and Perplexity AI.
Beyond writing, he mentors young journalists entering the AI-tech field and advocates for transparent, ethical technology communication. His goal is to make the future of technology understandable and responsible for everyone.
TechCrunch Reports went live in 2005 when founder Michael Arrington traded his Silicon Valley law books for a WordPress template and a simple vow: cover startup with the same urgency the Wall Street Journal reserves for Fortune 500 giants. The first post landed at 9:14 p.m.; within a year the blog broke the news that Google had acquired YouTube, cementing its role as the default tip-sheet for venture capital hunting the next unicorn.
Today a rotating team of thirty editors spanning San Francisco, New York, London, Bangalore and Beijing publishes thirty-five posts per day, each optimized for speed and depth. When a term sheet circulates, reporters verify the amount, series and lead investor through two independent sources—usually a founder and a VC—before the story hits the homepage ninety seconds later. Funding round pages auto-populate with Crunchbase data, giving readers competitor analysis, employee headcount graphs and burn-rate projections without leaving the article.
Beyond breaking-news posts, TechCrunch runs four recurring franchises. “Equity” delivers a 20-minute daily podcast unpacking the latest deals; “Pitch Deck Teardown” invites founders to publish the slides that closed their Series A so the community can critique narrative arc and metric order; “Startup Battlefield” is a monthly livestream where eight pre-Series B companies pitch judges such as Sequoia partners and Zoom C-suite alumni; and “TC+” offers a subscription paywall packed with investor surveys, cap-table templates and S-1 line-by-line breakdowns.
The annual Disrupt conference part trade show, part hackathon, part gladiator arena draws 10,000 attendees to San Francisco’s Moscone Center every September. Past winners include Dropbox, Mint and Yammer; IPO-bound alumni return to mentor new cohorts, creating a feedback loop that keeps the editorial team plugged into tomorrow’s headlines before they happen. Satellite Disrupt events now run in Berlin, Shenzhen and Lagos, extending TechCrunch’s lens to global innovation hubs.
Every article, video and newsletter adheres to a conflict-of-interest policy that bars reporters from holding positions in companies they cover, while sponsored posts are clearly labelled “Partner Content.” The result is a living archive of more than 250,000 posts chronicling fifteen years of boom, bust, pivot and exit a real-time ledger of the technology economy trusted by founders, investors and curious readers worldwide.
Elena Voren is a senior journalist and Tech Section Editor with 8 years of experience focusing on AI ethics, social media impact, and consumer software. She is recognized for interviewing industry leaders and academic experts while clearly distinguishing opinion from evidence-based reporting.
She earned her B.A. in Cognitive Science from the University of California, Berkeley (2016), where she studied human-computer interaction, AI, and digital behavior.
Elena’s work emphasizes the societal implications of technology, ensuring readers understand both the practical and ethical dimensions of emerging tools. She leads the Tech Section at Faharas NET, supervising coverage on AI, consumer software, digital society, and privacy technologies, while maintaining rigorous editorial standards.
Based in Berlin, Germany, Elena provides insightful analyses on technology trends, ethical AI deployment, and the influence of social platforms on modern life.
Mrs. Kamar Mahmoud serves as the Managing Editor of the English Division at Faharas website, where she plays a pivotal role in maintaining the site's editorial excellence. With a keen eye for detail and a commitment to journalistic integrity, Kamar.M oversees the entire content lifecycle from writer assignments through to final publication. Her responsibilities include managing editorial workflows, providing guidance to writers, and ensuring that every article published meets Faharas website's rigorous standards of quality, accuracy, and clarity. Through her leadership, she helps maintain the site's reputation for delivering reliable and well-crafted content to its readership.
Added detailed tech specifications and sensor technology.
Included info about user authentication with fingerprint scanner.
Explained privacy measures and data encryption explicitly.
Expanded on health insights including blood detection.
Clarified subscription costs and plans.
Included compatibility limitations and app availability.
Added list summarizing key features and drawbacks.
Introduced note on lack of clinical validation.
Mentioned privacy compliance information gaps.
Positioned sections by user interest priority.
Avoided hype, used clear, factual language.
Structured with longer, descriptive headings.
Added warning alert about medical use limitations.
Provided comparative context with competitors briefly.
FAQ
Who are the primary developers or researchers behind the machine learning algorithms used in Dekoda?
The machine learning algorithms in Dekoda were developed by Kohler’s health technology team working alongside data scientists specializing in imaging and spectroscopy; however, specific individual contributors have not been publicly named.
What challenges does the device face in accurately analyzing diverse stool types or medical conditions beyond blood detection?
While Dekoda uses optical sensors and spectroscopy to analyze stool and urine, it is limited to detecting visible and spectral features like hydration, stool shape, and blood. It cannot diagnose conditions requiring biochemical or microbial analysis, and subtle gastrointestinal issues may go undetected.
Where can consumers expect ongoing updates or new feature rollouts for the Kohler Health app and Dekoda device?
Updates for the Dekoda device and Kohler Health app are expected via WiFi connectivity, with the company likely distributing notifications and new features through the app’s update channels, but Kohler has not publicly detailed their update policy or exact distribution methods.
When is full Android app support anticipated, and how will it affect current Android users?
The Dekoda companion app is currently available only for iOS, with Android support under development and no announced release date. Until then, Android users will have limited or no access to full device functionality.
Why does Kohler emphasize both privacy measures and hardware restrictions in Dekoda's design?
Kohler’s privacy focus aims to protect sensitive bathroom data by orienting sensors only inside the toilet bowl and nowhere else, using encrypted data transmission, and implementing fingerprint authentication to ensure data security and user trust.